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Dora should look at the data of all the programs, especially the writing skills and technology programs to guide her on which program will affect the organization less if it is cut. How does these two programs rate in terms of meeting the objectives of the program, how will it affect the operations? This will make it easier for Dora to decide which program to cut

Dora should reflect on the data from All 3 programs to help her make a better decision. If she zooms into the data from each program and reviews which one is the most effective and useful to the youth, then she can be able to make an infirmed decision on which one to keep.

Dora should review the program data from each of the 3 programs, then she will be able to tell using the data which one is more effective and useful to the youth. Only then, she can make an infrmed decision on which one to keep. Akternatively, she cpould conduct a survey with the beneficiaries to help her decide which one to keep and which one to let go. The client always knows best.

Dora cannot rely on her own decision to make this very important decision as it is in the past and may not be applicable today or even still will use only her information to generalize for the entire program.
Dora will have to go through her data and reports to establish which program has been most effective in helping the program graduates get jobs and the remove the least effective.

First and foremost, I must commend Dora's involvement in helping women with low income get a job.

It is sad to know there will be less funding and that a professional educational program has to be cut.

Deciding between technology and writing class is a pretty tough one knowing how important each class has helped to build the capacity of these women. However, one has to choose the most beneficial of the two classes.

For me, I will go with the technology class while I drop the writing class for two main reasons.
First reason is because the importance of technology to the world today cannot be over emphasised. Everything virtually will be dead now if technology is removed. This therefore makes it the global needed tool for now and the future.
My second reason is because Technology is an embedded class that comes with benefits of learning other courses including writing. There are a number of predictive tools that has been developed to help improve learning most especially writing.

This therefore means that if technology class is chosen over writing, the benefits the women will be having will be more and all. I said more and all because with technology, you can have and do all other important development classes as well as the writing class.

Thank you everyone.

I think that the mentorship program should be cut. this is because with the professional writing and technology skills, her beneficiary could still get their desired jobs using these skills.

Dora decided to use a relative importance pattern to solve her p4oblem

Dora decided to use a relative importance pattern to solve her problem

Dora's decision is to listen to her intuition, be the mentor for other vulnerable people

Dora's decision is to listen to her intuition, be the mentor for other vulnerable people

What Dora should do
firstly , Using data for decision marking, monitoring data lets team members make smart decision about schedules
Secondly , Evaluation data lets managers and funder decide which programs to implement or fund. Nearly any decision -marking process can be improved with access to the right information

She has to study her from past experience to make this decision

In my opinion Dora should focus on teaching the women writing and othe technology skills because this is sustainable. Just connecting these women to successful entrepreneurs is not sustainable because at times layoffs do occur due to other financial problems in cases like these lender women vulnerable.

Dora should cut the writing class.

Dora should conduct a survey and ask women participants to make a choice in between them and relate the reasons for choosing them as well. This should give Dora a better understanding of what program is more effective than the others.

As seeing is always believing, at the outset, Mrs. Dora,s decision to retain the program that connects poor women to entrepreneurs should be retained while technology class may be removed. On the other hand, Dora might also take a decision based on the past data or impact evaluation of different activities which ever provided better results in achieving the objective of the organisation may be retained.

Dora's decision to maintained mentorship may be bias since she did not fully analyzed all the project using data analysis therefore she should first analyze all the project data and draw her conclusion on which project to close and the one to leave using the following steps below;

1. Start with findings. Findings are facts that you pull from the data.
2. Draw conclusions. Interpret the findings. For this step, you might rely on the analysis skills
3. Make recommendations. Based on your conclusions, what should your organization do? This is where the decision actually gets made.
4. Schedule actions. Once you have made a recommendation, implement that decision by proposing actions.

Based on this scenario, the class that teaches professional writing skills should be cut.
Because as Dora's reflect from her own experience "When she was a young woman, she was lucky enough to find a mentor who really supported her efforts to grow. Dora credits a lot of her success to this mentorship."
Because as she is a beneficiary of mentorship program, she believe keeping the mentorship program will help the low income women in the community more than the professional writing skills and the technology, because as they said experience is the best teacher.

That is very correct

In my opinion, in the current context of reduced funding for vocational training services, Dora's NGO is forced to cut some of these activities this year in order to maintain its mentoring programme. In the face of this situation I would advise Dora to retain the Technology courses. In my opinion, in the current context of the COVID 19 pandemic, many companies are working online with their staff without the need for them to travel. This requires a good knowledge and mastery of technology and all things digital. It is true that professional writing skills are also an asset for a job applicant, but this gap can be filled by practice and experience in the workplace.

Na primeira abordagem, antes dela tomar uma decisão primeiramente devera: analisar o rendimento todos os programas, qual deles tem um rendimento muito baixo.
ela deve devera usar os seus dados para tomar as suas decisões, essa e melhor decisão que se deve tomar quando temos um problema, pós os dados nos conduzem para uma melhor decisões.

First, for Dora to make a coherent decision, she must analyze the data from each program to see how productive her programs are. The data will allow you to make a clear decision as to which program you can suspend to give priority to another, as they will tell you which program produces the least.

After Data Management (Storing/archiving, Organizing and Accessing/retrieval) the next step is data Analysis and then Data use. The Analyzed data is used to make informed decisions on project execution.

I think Dora should conduct Focus Group Discussion (FGDs) with the previous beneficiaries on the educational program to understand what are the most important services for them and what has helped them the most to achieve what they want. She should not reply on her own personal experience as it may not be representative of that of the beneficiaries.

In such a situation, Dora needs to find the raw data from her previous participants and make sure the data is accurate. From this particular set of information, the best impact program should then be supported and funded.

The Dora Decision was based in its own judgement rather to conducting the simple data analysis in which one the course should be cut it off

Dora need to do a research to find out the beneficiary needs between the two. she must not make a decision based on her own experience. She must understand her program's beneficiaries shortfalls and make a decisions from the findings

Dora should should collect data on which program is influential to the women and helping a lot of them. She should not use her intuition to cut the programs.

It is unfortunate that despite the three programs looking successful, funding lacks to support all of them them. In this case, Dora needs to look at the data available, to see the success rate for each of the programs and proceed to cut the one with the least success rate in terms the one that has benefited the least number of people.

Hi.everyone.we need (Community volunteer

Dora is doing a lot for the society, where they work. They should engage the locals in the projects and raise a compeign for the collection of funds from local, national and international agencies.

Dora should study and survey her beneficiaries and then make decision

Hi.everyone

Hi.everyone

I think Dora should collect data on the performance of both the courses, performance should be indicated by the satisfaction of the women taking the courses,then analyse the data and decide to cut on the less performing course.

This is a good idea.

hello familly

hello familly

hello familly

Proper interpretation of results is the key to decision making

Dora's decision due to the less funding this year in its NGO is to use the professional writing skills to communities' women. By that, women will later on be employed whenever they acquire such professional education duties.

Decisions should always be driven by data

Decisions should always be driven by data

I am thinking of stopping the professional writing class because the field of technical skills is broader and includes many explanations in the community.
But this decision also varies according to the target community

Using digital techology !!!

evidence based decision making is both scientific and, often times ,leads to good result. This is made possible with the use of scientifically collected data to evaluate several options

evidence based decision making is both scientific and, often times ,leads to good result. This is made possible with the use of scientifically collected data to evaluate several options

In many third world countries, Nigeria for instance, most policy makers are corrupt, and so they demand huge amount of money to get a simple policy document passed. Supposing that an Advocacy Group does not have the money demanded, how do we navigate through such challenge?

In some contexts, key government officials are the direct beneficiaries of existing malfunctioned system that an Advocacy Group might want to change. How do you get them change their minds knowing that they benefit from the status quo

Both writing and technology classes are important. If it is compulsory that one be cut off, then she should consider cutting the class with less participants.

In measuring outcome, It is important to focus a specific area of your advocacy activities and measure changes that have taken place, and how they can be traced to your efforts

The information should be pass to the end users of the program ,in a form of questionaire
Should teaching skill be drop or technical skill ? From Thier response the team will be able to evaluate Thier response and make a better decision .

I will recommend that Dora should keep the mentorship programme and give up the other two focus teaching. Mentorship has proven an effective strategy globally to achieving success in human endeavour. Coaching, intership and role-modelling are all examples of mentorship that have been used to drive enterpreneurial success just as Dora has alluded to based on her experience.

Because nowadays lives revolves around technology I think it best if she cut the writing class.

Though is difficult decision to make. I would prefer to source other funds to implement all the programs however if no fund is available I willa advice her to remove technology skill program.

I think Dora should continue with what is important to her while consider others later.

Deciding what to do in monitoring and evaluation is never valid. It's either we use monitoring data or evaluation data to make the right choice of what we want to be funded or we wish to implement.

Deciding what to do in monitoring and evaluation is never valid. It's either we use monitoring data or evaluation data to make the right choice of what we want to be funded or we wish to implement.

she should cut the writing class

she should cut the writing class

Dora should not put emotions in her decision making, i.e. her own connection to the mentoring she received in the past. She should focus on the mission of the NGO's works for. In this regard, Dora should make sure that an objective assessment of the outcomes of the three programs under the NGO's portfolio are evaluated so that the most effective in terms of empowring women to get jobs is carried on with.

Dora's should collect both monitoring & evaluation data for all the programs under the NGO's portfolio. Then, draw her conclusion on which programs to close.

Dora reflects on her own experience.

I personally think Dora should stop the professional writing class because the field of technical skills is broader and includes many explanations in the community.

Dora should should revisit the data from previous programs that had an impact in connecting the women to more opportunities. From there she can make an evidence based decision on which program to upscale and one to drop.

I am thinking of stopping the professional writing class because the field of technical skills is broader and includes many explanations in the community.

This is a tight spot for Dora. However, I think Dora needs to use data to find out which of the programmes is most successful and that which is least successful. From there, she will be able to make a data-driven decision which is more likely to benefit the NGO in the long run. Her intuition is not enough to take such a decision

This is a tight spot for Dora. However, I think Dora needs to use data to find out which of the programmes is most successful and that which is least successful. From there, she will be able to make a data-driven decision which is more likely to benefit the NGO in the long run. Her intuition is not enough to take such a decision. As the data indicated, Dora's intuition was a confirmatory bias but from the data pulled out, the mentorship program appeared costlier and less efficient

dorah should carry out an analysis "M & E" analysis on all programs and see which one has much impact on women and then remove the one with less impact

Couper le cours de technologie

I think that if i was Dora i would cut the professional weiting skills for now and concentrate on the Technolgy slills and the program that connects women to be successful entrepreneurship. Professional writting can be incorporated later in the program maybe as a workshop but the other 2 skills can give these women livelihoods. All the programs are equally important but the 2 i have chosen are extremely important for the livelihoods.

I think that if i were Dora i would pull out data for all participants who participated in all 3 programs and analyse the data to check the success rate of participants after they got the skills. The question will be how many participants were hired after attending the course. Based on the findings i will therefore make a decision as to which program can be shut down or phased out. Its easy to make a decision based on the personal experience but it can also be biased if not backed up by data it can be the biggest mistake of the decision maker. It can be biased.
So the correct way of making decisions it must be based on data.

Dora in order to chose which one to cut technology or writing class
She should do the following
Compile the number of beneficiaries attend each class
The number of BFs who record their satisfactions of each course
Then to do analysis for the data after that she can represent the data to stockholders and what decisions had been taken.

I think that if i were Dora i would pull out data for all participants who participated in all 3 programs and analyse the data to check the success rate of participants after they got the skills. The question will be how many participants were hired after attending the course. Based on the findings i will therefore make a decision as to which program can be shut down or phased out. Its easy to make a decision based on the personal experience but it can also be biased if not backed up by data it can be the biggest mistake to the decision maker. It can be biased.
So the correct way of making decisions it must be based on the findings from the data collected during yhe program. Hence it is important for the whole team to prioritise data collection and data use for decision making.

in Dora's position I would evaluated both programs and see which one has a huge impact and keep it.

dora will study very well their data to take decision

For this particular issue I believe that decision based on experience will not help much. This is exactly where either Dora's NGO should use available data or conduct an assessment or survey to collect the data to use in decision making about the program to move on with. Dora and her team have got to analyze that data in order to decide cutting down the non performing.

There are difficult situations that are faced in many programs. Availability of some relevant data can be key in making informed decisions. In Dora's case, I suggest she would way the demand between the two skills her project offers. Otherwise, she might terminate the other when it is the highly demanded skill on the job market as such it would seem as though the program is not effective in making the participants highly employable

Dora should collect data on the two classes, analyses it and which class is more effective than the other, the less effective class should be cut

If the only option is to select which options to keep and which to cut, she should keep the mentorship program and discard the professional writing skill and technology programs. This is because very likely during mentorship, the professional skills and technology would be addressed. This would save costs of funding them as separate programs.

Dorah need to send M&E hired team to go out and monitor the impact and evaluate the performance of the programs she's offering and from such information she would based her decision from.

Dora should follow her intuition

Dora can still carry out the mentorship program by reducing the number of women that the fund can cater for instead of cutting one of the two essential skills

This sis a situation that most people find themselves in when making decisions in a situation like this. Doras's attachment to mentorship has a great influence in her making a choice. however maybe that program is not the best performing program or has not helped improve the lives and incomes of many young girls. I strongly propose that she leaves her biased and try to run a small evaluation and analyze each program independently, taking into considerations the performances of each program and particularly the factors responsible for high or low performance factors that are responsible for low performance which are difficult to manage should be considered as a red flag for elimination.

i think she should eliminate the ideas of thinking first about mentorship. all three courses should be subjected to an analysis

this may lead her to make wrong decisions don't you think. intuitions are not evidence based. there are based on emotions and feelings. what if the feeling Dora has towards mentor ship is not backed by performance of the course towards achieving her organizations goals " improving income of low-income women" here organization may fall due to this discission. think about it!

what if the one she is choosing and holding ties to mentorship is the least performant. she should not be bias.

Dora's decision is based on her own experience and cannot be representative of the majority. To decide to cut which program, Dora should conduct a secondary data review if there is no primary data readily available to assist her decision making. Alternatively, Dora can also conduct a number of informal interview to get more information about the experience and opinions of others. Just to base on Dora's experience and to jump to a decision is a hasty and non-representative of the majority. This might lead to an ethical issue. This is not to discuss about the differences in her experience and backgrounds as compared with the other people which could lead to a totally different decision.

She needs to evaluate the three programs and then choose one with the best results and better costs.

She needs to evaluate the three programs and then choose one with the best results and better costs.

Dora should collect data on the different programs and their impact on helping the women get jobs. From her analysis and interpretation of these data, she can make an informed decision on which program to cut off.

I think Dora's decision is not appropriate, a manager should not follow her past experiences to make decisions.
The manager should base their decisions on the data that is available in the organisation not speculations, experiences and feelings

I think, Dora should maintain a class program that teaches professional writing skills and another class that teaches technology skills, because the program gives more learning but also becomes a program that really needs a mentor

i think dora should listen to her intuition

if she has been running three programs then she should evaluate all the programs and maintain that with a higher impact on the benefactors. people's abilities differ, the mentorship program might have worked well for her but it can not be the case for every other woman.

if she has been running three programs then she should evaluate all the programs and maintain that with a higher impact on the benefactors. people's abilities differ, the mentorship program might have worked well for her but it can not be the case for every other woman.

if she has been running three programs then she should evaluate all the programs and maintain that with a higher impact on the benefactors. people's abilities differ, the mentorship program might have worked well for her but it can not be the case for every other woman.

if she has been running three programs then she should evaluate all the programs and maintain that with a higher impact on the benefactors. people's abilities differ, the mentorship program might have worked well for her but it can not be the case for every other woman.

if she has been running three programs then she should evaluate all the programs and maintain that with a higher impact on the benefactors. people's abilities differ, the mentorship program might have worked well for her but it can not be the case for every other woman.

if she has been running three programs then she should evaluate all the programs and maintain that with a higher impact on the benefactors. people's abilities differ, the mentorship program might have worked well for her but it can not be the case for every other woman.